Business System Analyst - Power BI

Role Summary

Drive data-informed decision making by translating business needs into clear requirements and scalable Power BI solutions. You will own the end-to-end analytics lifecycle—from discovery and requirement gathering to data modeling, dashboard development, governance, and user adoption.

Key Responsibilities

• Requirements & Analysis
  • Lead workshops, interviews, and process mapping (BPMN) to capture business goals, KPIs, and pain points.
    
  • Produce BRDs/FRDs, user stories, acceptance criteria, and process/data flow diagrams.
    
  • Perform gap, feasibility, and cost–benefit analyses; conduct root-cause analysis using data.
    
• Data & BI Delivery
  • Define metrics and data contracts; translate KPIs into semantic models and datasets.
    
  • Build Power BI dashboards and paginated reports with robust DAX measures and Power Query (M).
    
  • Design star/snowflake models; optimize relationships, aggregations, and query performance.
    
  • Implement row-level security (RLS), certified datasets, and deployment pipelines in Power BI Service.
    
  • Manage workspaces, gateways, refresh schedules, and versioning; coordinate releases and UAT.
    
• Governance & Quality
  • Establish data definitions, dictionaries, and lineage documentation.
    
  • Partner with data engineering on ETL/ELT, ensuring data integrity, security, and compliance.
    
  • Define test plans, validate results, and maintain runbooks and support SOPs.
    
• Stakeholder Management & Adoption
  • Act as a bridge between business, product, and engineering; prioritize backlogs (Jira/Azure DevOps).
    
  • Deliver training, usage guidance, and change management to drive self-service analytics.
    
  • Present insights and recommendations with clear storytelling.
    

Required Qualifications

• 4–7 years as a Business/Systems Analyst, including 2+ years hands-on with Power BI.
  
• Strong Power BI skills: DAX, Power Query (M), data modeling (star schema), performance tuning, RLS.
  
• Proficient SQL (joins, CTEs, window functions) and data profiling.
  
• Experience with BI lifecycle in Agile/Scrum environments (Jira/Azure DevOps/Confluence).
  
• Excellent communication, facilitation, and stakeholder management skills.
  

Preferred Qualifications

• Exposure to Azure analytics stack (Azure SQL, Synapse, Data Lake, Data Factory) or equivalent.
  
• Knowledge of APIs/REST/JSON, ETL/ELT concepts; familiarity with Git-based workflows.
  
• Tools: DAX Studio, Tabular Editor, ALM Toolkit; experience with Power BI Premium features.
  
• Certifications: Microsoft PL-300 (Power BI Data Analyst), PSM/CSPO, IIBA CCBA/CBAP.
  
• Nice-to-have: Python/R for analytics, statistics, Power Automate/Power Apps, embedded analytics.
  
• Domain experience in [BFSI/Healthcare/Retail/Manufacturing/etc.].
  

Success Metrics (KPIs)

• Report adoption and satisfaction (usage growth, NPS).
  
• Cycle time from request to deployment; backlog throughput.
  
• Data quality and refresh reliability; reduction in manual reporting hours.
  
• Performance benchmarks (e.g., <3s median visual/DAX query time).
  
• Self-service enablement (share of certified datasets, reuse rate).
  

Education

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field; MBA a plus.